XDA28090105 A Comprehensive Dataset on Novel Storage and Fermentation Technologies for Livestock Manure and Its Efficient Resource Utilization

Supported by the National Key R&D Program and the Strategic Priority Research Program of the Chinese Academy of Sciences, this dataset systematically integrates observational data from four core experiments conducted in typical agricultural regions (Changtu and Kangping Counties) of Liaoning Province between 2022 and 2024. It covers the entire chain from manure treatment to farmland application: 1) Process Optimization Data: Includes the dynamic effects of four compound microbial agents on the anaerobic fermentation of whole swine manure, covering maturity indicators such as pH, EC, COD, methane production, and germination index; 2) Soil Fertility Data: Records the temporal effects of solid organic fertilizer, biogas slurry, and liquid manure application on the physicochemical properties (e.g., C, N, P, K, pH) and biological properties (activities of key enzymes) of black soil, aeolian sandy soil, and brown earth; 3) Biological Mechanism Data: Contains high-throughput sequencing data on the abundance, alpha diversity, and relative abundance of dominant phyla/genera of bacterial and fungal communities in both soil and manure; 4) Crop Response Data: Documents the yield and quality indicators (e.g., starch and protein content) of maize and peanuts.

This dataset provides robust data support for understanding the microbial mechanisms driving manure resource utilization, optimizing crop-livestock integration models in cold regions, and assessing the eco-environmental effects of organic substitution.